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Role of Macrophage Migration Inhibitory Factor in Obesity, Insulin Resistance, Type 2 Diabetes, and Associated Hepatic Co-Morbidities: A Comprehensive Review of Human and Rodent Studies

Overview of attention for article published in Frontiers in immunology, June 2015
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Title
Role of Macrophage Migration Inhibitory Factor in Obesity, Insulin Resistance, Type 2 Diabetes, and Associated Hepatic Co-Morbidities: A Comprehensive Review of Human and Rodent Studies
Published in
Frontiers in immunology, June 2015
DOI 10.3389/fimmu.2015.00308
Pubmed ID
Authors

Martine C. Morrison, Robert Kleemann

Abstract

Obesity is associated with a chronic low-grade inflammatory state that drives the -development of obesity-related co-morbidities such as insulin resistance/type 2 diabetes, non-alcoholic fatty liver disease (NAFLD), and cardiovascular disease. This metabolic inflammation is thought to originate in the adipose tissue, which becomes inflamed and insulin resistant when it is no longer able to expand in response to excess caloric and nutrient intake. The production of inflammatory mediators by dysfunctional adipose tissue is thought to drive the development of more complex forms of disease such as type 2 diabetes and NAFLD. An important factor that may contribute to metabolic inflammation is the cytokine macrophage migration inhibitory factor (MIF). Increasing evidence suggests that MIF is released by adipose tissue in obesity and that it is also involved in metabolic and inflammatory processes that underlie the development of obesity-related pathologies. This review provides a comprehensive summary of our current knowledge on the role of MIF in obesity, its production by adipose tissue, and its involvement in the development of insulin resistance, type 2 diabetes, and NAFLD. We discuss the main findings from recent clinical studies in obese subjects and weight-loss intervention studies as well as results from clinical studies in patients with insulin resistance and type 2 diabetes. Furthermore, we summarize findings from experimental disease models studying the contribution of MIF in obesity and insulin resistance, type 2 diabetes, and hepatic lipid accumulation and fibrosis. Although many of the findings support a pro-inflammatory role of MIF in disease development, recent reports also provide indications that MIF may exert protective effects under certain conditions.

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Mendeley readers

Mendeley readers

The data shown below were compiled from readership statistics for 136 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Indonesia 1 <1%
United States 1 <1%
Unknown 134 99%

Demographic breakdown

Readers by professional status Count As %
Student > Master 22 16%
Student > Ph. D. Student 20 15%
Student > Bachelor 19 14%
Researcher 18 13%
Student > Doctoral Student 10 7%
Other 21 15%
Unknown 26 19%
Readers by discipline Count As %
Biochemistry, Genetics and Molecular Biology 27 20%
Agricultural and Biological Sciences 27 20%
Medicine and Dentistry 20 15%
Immunology and Microbiology 8 6%
Nursing and Health Professions 3 2%
Other 18 13%
Unknown 33 24%
Attention Score in Context

Attention Score in Context

This research output has an Altmetric Attention Score of 1. This is our high-level measure of the quality and quantity of online attention that it has received. This Attention Score, as well as the ranking and number of research outputs shown below, was calculated when the research output was last mentioned on 29 May 2015.
All research outputs
#23,957,771
of 26,673,263 outputs
Outputs from Frontiers in immunology
#28,995
of 33,483 outputs
Outputs of similar age
#239,168
of 278,950 outputs
Outputs of similar age from Frontiers in immunology
#148
of 171 outputs
Altmetric has tracked 26,673,263 research outputs across all sources so far. This one is in the 1st percentile – i.e., 1% of other outputs scored the same or lower than it.
So far Altmetric has tracked 33,483 research outputs from this source. They typically receive more attention than average, with a mean Attention Score of 8.7. This one is in the 1st percentile – i.e., 1% of its peers scored the same or lower than it.
Older research outputs will score higher simply because they've had more time to accumulate mentions. To account for age we can compare this Altmetric Attention Score to the 278,950 tracked outputs that were published within six weeks on either side of this one in any source. This one is in the 1st percentile – i.e., 1% of its contemporaries scored the same or lower than it.
We're also able to compare this research output to 171 others from the same source and published within six weeks on either side of this one. This one is in the 1st percentile – i.e., 1% of its contemporaries scored the same or lower than it.